You could try running a wb_command like smoothing on a random dense timeseries 
dataset.  It should use multiple cores if everything is working correctly with 
that.

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Gengyan Zhao <[email protected]<mailto:[email protected]>>
Date: Monday, May 23, 2016 at 10:57 AM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] Questions about Run Diffusion Preprocessing Parallelly


Hello HCP Masters,


I have a question about the "DiffusionPreprocessingBatch.sh". I want to run it 
in a multi-thread manner and involve as many cores as possible. There is a line 
in the script saying:


#Assume that submission nodes have OPENMP enabled (needed for eddy - at least 8 
cores suggested for HCP data)


What shall I do to enable OPENMP? or OPENMP is ready to go? My current state is 
that the pipeline has just been run with SGE on a Ubuntu 14.04 machine having 
32 cores. Thank you very much.


Best,

Gengyan


Research Assistant

Medical Physics, UW-Madison


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